Foundations

Understand language models and choose a learning path.

706 resources · page 12 of 23

OpenSpiel
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DeepMind OpenSpiel GitHub repo: environments and algorithms for reinforcement learning and search in games.
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@osanseviero (Omar Sanseviero)
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X account of Omar Sanseviero, Google DeepMind: posts on Gemma, Gemini and AI Studio.
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Owain Evans (@OwainEvans_UK)
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Owain Evans' site: alignment researcher at Truthful AI, with papers on emergent misalignment and situational awareness.
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@DynamicWebPaige (Paige Bailey)
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X account of Paige Bailey, Google DeepMind developer relations: Gemini API demos and updates.
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李沐 paper-reading (论文精读)
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paper-reading GitHub repo (Mu Li): index of Chinese section-by-section video readings of deep learning papers.
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Paul Gauthier (@paulgauthier)
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Aider: open-source AI pair-programming tool for the terminal, created by Paul Gauthier.
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Peter Steinberger blog
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Peter Steinberger's blog on building AI-powered developer tools, creator of OpenClaw.
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Philipp Schmid (@_philschmid)
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Philipp Schmid's blog: Google DeepMind engineer's tutorials on fine-tuning, deploying and building with LLMs.
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@_philschmid (Philipp Schmid)
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X account of Philipp Schmid, Google DeepMind: posts on agents, the Gemini API and AI news.
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PhoBERT
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VinAI PhoBERT GitHub repo (EMNLP 2020): pretrained language models for Vietnamese.
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@physical_int (Physical Intelligence)
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X account of Physical Intelligence: robot foundation model research such as π0.
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PR[AI]RIE-PSAI
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PR[AI]RIE-PSAI: Paris AI cluster and school, successor to the PRAIRIE institute, founded by CNRS, Inria, Institut Pasteur, PSL and Université Paris Cité.
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Presenton Documentation
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Presenton documentation: open-source AI presentation generator, setup and usage.
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Prince Canuma (@Prince_Canuma)
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mlx-vlm GitHub repo by Prince Canuma: inference and fine-tuning of vision-language models on Apple MLX.
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@PrismML (PrismML)
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X account of PrismML: updates on its efficiency-focused AI research such as 1-bit Bonsai models.
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Problematic Paper Screener (Cabanac et al.)
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Problematic Paper Screener (Cabanac et al.): flags published papers with tortured phrases and AI-generated text.
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PyMC
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PyMC GitHub repo: Bayesian modelling and probabilistic programming in Python.
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PyTorch Geometric
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PyTorch Geometric (PyG) documentation: library for building and training graph neural networks.
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PyTorch Korea (파이토치 한국 사용자 모임)
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PyTorchKR forum: Korean-language PyTorch and ML community with translated paper and news digests.
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量子位 QbitAI
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QbitAI: Chinese AI news outlet reporting domestic model releases and industry news.
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Qiita
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Qiita: Japanese developer knowledge-sharing site with many articles on LLMs, APIs and AI tooling.
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Qiu Xipeng 邱锡鹏
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Qiu Xipeng's book site: Chinese books Neural Networks and Deep Learning and on large models and agents, with notebooks.
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Qwen3-VL
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QwenLM Qwen3-VL GitHub repo: multimodal large language model series with usage code.
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r/LocalLLaMA
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r/LocalLLaMA subreddit: community forum on running open-weight models locally, quantisation and hardware.
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Rachel Thomas (@math_rachel)
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Rachel Thomas's site: fast.ai co-founder writing on AI ethics, science and education.
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@ramin_m_h (Ramin)
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X account of Ramin Hasani, Liquid AI co-founder: posts on liquid neural networks and efficient models.
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@random_walker (Arvind Narayanan)
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X account of Arvind Narayanan, Princeton professor and co-author of AI Snake Oil: posts on AI claims and policy.
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@rasbt (Sebastian Raschka)
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X account of Sebastian Raschka, author of Build a Large Language Model From Scratch: posts on LLM research.
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RecBole
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RUCAIBox RecBole GitHub repo: unified library of recommendation algorithms for reproducible comparison.
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Recommenders
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Recommenders GitHub repo: examples and utilities for building recommendation systems.
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RIKEN AIP
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RIKEN Center for Advanced Intelligence Project (AIP): Japanese AI research center with three research groups.
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LLM под капотом (@llm_under_hood)
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LLM под капотом Telegram channel by Rinat Abdullin on building LLM products, with case studies and business-task benchmarks.
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